Salesforce Developer

Job Title: Manager - HR Digital & Analytics

Location: Gurgaon

Experience: 6+ years

Industry: Retail / FMCG / E-commerce / Corporate

Job Summary:

We are seeking a highly skilled Manager - HR Digital & Analytics to drive HR technology initiatives, optimize HR systems, and leverage data analytics for strategic decision-making. The role will focus on digital transformation, HRIS management, workforce analytics, and automation to enhance efficiency and employee experience.

Key Responsibilities:

1. HR Digital Transformation & HRIS Management

• Implement and manage HR technology solutions (HRMS, HCM, ATS, LMS, etc.).
• Drive HR automation and digitalization to improve processes.
• Partner with IT & HR teams to ensure seamless system integration and upgrades.
• Manage employee self-service portals and optimize user experience.

2. HR Data Analytics & Reporting

• Design and implement HR dashboards, reports, and analytics for decision-making.
• Analyze key HR metrics such as attrition, retention, performance, and engagement trends.
• Support workforce planning with predictive analytics and data-driven insights.
• Ensure accuracy and compliance of HR data across systems.

3. Process Improvement & Automation

• Identify and implement AI, automation, and chatbot solutions for HR services.
• Optimize employee lifecycle processes (onboarding, performance management, payroll, etc.).
• Lead HR digital upskilling and training initiatives for teams.

4. Compliance & Data Security

• Ensure HR systems comply with GDPR, labor laws, and data privacy policies.
• Work closely with IT and Compliance teams to maintain data integrity and security.

5. Stakeholder Management

• Collaborate with HR, IT, Finance, and leadership teams for digital projects.
• Work with external vendors to evaluate and implement HR tech solutions.

Key Skills & Requirements:

• 5+ years of experience in HR Digital Transformation, HR Analytics, or HRIS.
• Strong understanding of HRMS (SAP SuccessFactors, Workday, Oracle, PeopleStrong, Darwinbox, etc.).
• Hands-on experience in HR data visualization (Power BI, Tableau, or Excel Advanced Analytics).
• Knowledge of automation tools (RPA, AI-based HR solutions, or chatbots).
• Strong analytical mindset with expertise in HR reporting and predictive analytics.
• Excellent communication and stakeholder management skills.

Qualifications:

• MBA / PG in HR, Analytics, or IT.
• Certifications in HR Analytics, HR Technology, or Data Science are a plus.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 88 O2 74 97 43

Website: www.glansolutions.com

Responsibilities

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Responsible for the product development and maintenance
• Analyze and resolve performance bottlenecks

Requirements

• 3+ Years of experience in Web Application Development
• Should excel in working with large-scale applications and frameworks
• Expert in Programming using Angular 8/10/11, Web API
• Should have knowledge in Relational and Non-Relational databases (NO SQL).
• Strong knowledge of SDLC methodologies – Agile/Scrum
• Very good development skills in front end technologies/javascript.
• Good understanding of Object-Oriented Programming, Design Concepts & Unit Testing
• Good understanding of Web Security Concepts

LogiNext is looking for a technically savvy and passionate Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 2 to 3 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Experience of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Job Description:

1.Design mobile application interface design, navigation, and presentation along with developing

custom controls as required by the application.

2. Understand product development road map and execute rapidly to build mobile applications with

high quality.

3. Utilize native APIs to enable maps, in-app SMS and email features

4. Develop applications that controls handset resources

5. Able to lead and mentor team members

6. Troubleshoot to solve customer problems with help of Catalytic/firebase among other tools.

7. Deployment / Release understanding

8. Unit Testing

9. Good to have exposure to Kotlin, flutter, react native

10. Implement Deep Links and Notification Libraries

11. Understanding of battery/ram/network and other system resource saving strategies

• Handle guest complaints assist with the check-in process and explain all facility amenities.
• Coordinating and multi-tasking job duties in a busy environment.
• Ensuring and providing flawless upscale professional and high-class guest service experiences.
• Analyzing customer feedback and providing strategic direction to continuously improve the overall rating.

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy    

• Optimizing copy and landing pages for search engine optimization
• Performing ongoing keyword research including discovery and expansion of keyword opportunities
• Researching and implementing content recommendations for organic SEO success
• Execute tests, collect and analyze data and results, identify trends and insights in order to achieve maximum ROI in paid search campaigns
• Track, report, and analyze website analytics and PPC initiatives and campaigns
• Manage campaign expenses, staying on budget, estimating monthly costs and reconciling discrepancies.
• Optimize copy and landing pages for search engine marketing
• Perform ongoing keyword discovery, expansion and optimization
• Research and implement search engine optimization recommendations
• Research and analyze competitor advertising links
• Develop and implement link building strategy
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code
• Work with editorial and marketing teams to drive SEO in content creation and content programming
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
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